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To complete the sentence, select the appropriate option in the answer area
HOTSPOT To complete the sentence, select the appropriate option in the answer area. View AnswerAnswer: Explanation: Reliability and safety: To build trust, it's critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally...
Which two parameters should you use to consume the pipeline?
You use Azure Machine Learning designer to publish an inference pipeline. Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.A . the model nameB . the training endpointC . the authentication keyD ....
Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?A . Form RecognizerB . Text AnalyticsC . Ink RecognizerD . Custom VisionView AnswerAnswer: A Explanation: Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text,...
To complete the sentence, select the appropriate option in the answer area
HOTSPOT To complete the sentence, select the appropriate option in the answer area. View AnswerAnswer: Explanation: Privacy and security. As AI becomes more prevalent, protecting privacy and securing important personal and business information is becoming more critical and complex. With AI, privacy and data security issues require especially close attention...
What should you do?
You build a machine learning model by using the automated machine learning user interface (UI). You need to ensure that the model meets the Microsoft transparency principle for responsible AI. What should you do?A . Set Validation type to Auto.B . Enable Explain best model.C . Set Primary metric to...
Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.A . datasetB . computeC . pipelineD . moduleView AnswerAnswer: AD Explanation: You can drag-and-drop datasets and modules onto the canvas. Reference:...
Match the types of AI workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point
DRAG DROP Match the types of AI workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. NOTE: Each correct selection is...
Which business benefit should the company expect as a result of creating the webchat bot solution?
A company employs a team of customer service agents to provide telephone and email support to customers. The company develops a webchat bot to provide automated answers to common customer queries. Which business benefit should the company expect as a result of creating the webchat bot solution?A . increased salesB...
Which metric can you use to evaluate a classification model?
Which metric can you use to evaluate a classification model?A . true positive rateB . mean absolute error (MAE)C . coefficient of determination (R2)D . root mean squared error (RMSE)View AnswerAnswer: A Explanation: What does a good model look like? An ROC curve that approaches the top left corner with...
To complete the sentence, select the appropriate option in the answer area
HOTSPOT To complete the sentence, select the appropriate option in the answer area. View AnswerAnswer: Explanation: In the most basic sense, regression refers to prediction of a numeric target. Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable....
